microsoft/Video_Call_MOS
A video quality MOS prediction model for videoconferencing calls that takes temporal distortions into account
This helps network engineers and quality assurance teams accurately assess the user-perceived quality of video calls. It takes a reference video and a degraded video (like one recorded from a live call) as input, and outputs a Mean Opinion Score (MOS) that reflects how a user would rate the video quality, specifically accounting for frustrating temporal issues like freezes and stutters.
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Use this if you need to reliably quantify the impact of video freezes and other temporal distortions on the subjective quality of videoconferencing calls.
Not ideal if you only care about resolution or bitrate quality and don't need to specifically account for video freezes or other time-based impairments.
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54
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Language
Python
License
CC-BY-4.0
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Last pushed
Mar 17, 2025
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